This presentation explores current limitations in trajectory modeling for aviation operations and proposes strategies for improvement. Key enhancements include integrating constraint and weather information, adopting a service-based architecture for consistency, fostering collaborative decision-making and data sharing, leveraging AI/ML for predictive accuracy, and introducing additional automation to increase trajectory predictability. These advancements aim to optimize efficiency, safety, and environmental sustainability in trajectory-based operations.
By Tony Ng, CTO and Solution Architect for the Transportation Solutions division, Leidos
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